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1
Modeling human-like morphological prediction
In: Proceedings of the Society for Computation in Linguistics (2022)
Abstract: We test a model of morphological prediction based on analogical deduction using phonemic similarity by applying it to German plural suffix prediction for a set of 24 nonce forms for which McCurdy et al. (2020) elicited human judgements, and which they found were poorly matched by productions of an encoder-decoder model of Kirov and Cotterell (2018). Their results raise the question of what kinds of models best mirror human judgements. We show that the predictions of the analogical models we tested mirror human judgements better than the encoder-decoder model.
Keyword: analogical deduction; Computational Linguistics; human judgements; morphological prediction; neural models; nonce forms
URL: https://scholarworks.umass.edu/scil/vol5/iss1/12
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1242&context=scil
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2
Lexical strata and phonotactic perplexity minimization ...
Rosen, Eric R.. - : University of Massachusetts Amherst, 2021
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3
Lexical strata and phonotactic perplexity minimization
In: Proceedings of the Society for Computation in Linguistics (2021)
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4
Inflectional paradigms as interacting systems
In: Proceedings of the Society for Computation in Linguistics (2021)
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5
Learning complex inflectional paradigms through blended gradient inputs
In: Proceedings of the Society for Computation in Linguistics (2019)
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